Power connector with integrated status monitoring

1. An electrical power system comprising:

an electrical power connector;

a contact configured to electrically connect a power supply to a load;

a first sensor configured to sense a first characteristic of the electrical power connector;

a second sensor configured to sense a second characteristic of the electrical power connector; and

an electronic controller configured to

receive a first signal indicative of the first characteristic,

receive a second signal indicative of the second characteristic,

compare the first signal to a first parameter threshold, wherein the first parameter threshold corresponds to a desired parameter at least one selected from a group consisting of a connection point of the electrical power connector and a terminal of the electrical power connector,

compare the second signal to a second parameter threshold, and

dynamically adjust at least one selected from a group consisting of the first parameter threshold and the second parameter threshold, wherein the dynamic adjustment is based on at least one selected from a group consisting of an operational limit and a known operational behavior.

2. The electronic power system of claim 1 , wherein the controller is further configured to determine an abnormal condition based on a comparison of the first signal to the first threshold.

3. The electronic power system of claim 1 , wherein the controller is further configured to determine an abnormal condition based on a comparison of the second signal to the second threshold.

4. The electronic power system of claim 1 , wherein the first sensor is a voltage sensor.

5. The electronic power system of claim 1 , wherein the first sensor is a temperature sensor.

6. The electronic power system of claim 1 , wherein the first sensor is a current sensor.

7. The electronic power system of claim 1 , wherein the predetermined threshold is a default value based on an application of the electrical power system.

8. The electronic power system of claim 1 , wherein the electronic controller is located within the electrical power connector.

9. The electronic power system of claim 1 , wherein the electronic controller is located on at least one selected from the group consisting of an external communication device, an external wiring device, a remote server, and a cloud network.

10. The electronic power system of claim 1 , wherein the controller is partially located within the electrical connector and partially located on at least one selected from the group consisting of an external communication device, an external wiring device, a remote server, and a cloud network.

11. The electronic power system of claim 1 , wherein at least one of the first characteristic and the second characteristic is based on an installation condition.

12. The electronic power system of claim 11 , wherein the installation condition is at least one selected from the group consisting of an expected/allowed temperature range, an indoor versus outdoor use, a degree of climate control or non-climate control, a level of moisture/humidity, a natural temperature variation, a geographical location, and an installation location.

13. The electronic power system of claim 1 , wherein at least one of the first characteristic and the second characteristic is one selected from the group consisting of a temperature, a voltage, and a current.

14. The electrical power system of claim 1 , wherein the controller is further configured to provide a maintenance schedule tracker.

15. The electrical power system of claim 1 further comprising a load, wherein the controller is further configured to determine an abnormal condition of the power system based on information received from the load.

16. The electrical power system of claim 1 , wherein the controller is further configured to utilize machine learning and artificial intelligence algorithms to perform or improve prediction or diagnostic capability based on the information received from at least one selected from the load.

17. The electrical power system of claim 16 , wherein the controller is further configured to utilize machine learning and artificial intelligence algorithms to further improve prediction capability based on the information received from the load.

18. A method of monitoring an electrical power system, the method comprising:

sense, via a first sensor, a first characteristic;

sense, via a second sensor, a second characteristic;

receive, via a controller, a first signal indicative of the first characteristic;

receive, via the controller, a first signal indicative of the first characteristic;

compare the first signal to a first parameter threshold, wherein the first parameter threshold corresponds to a desired parameter at least one selected from a group consisting of a connection point of the electrical power connector and a terminal of the electrical power connector;

compare the second signal to a second parameter threshold; and

dynamically adjust at least one selected from a group consisting of the first parameter threshold and the second parameter threshold, wherein the dynamic adjustment is based on at least one selected from a group consisting of an operational limit and a known operational behavior.

19. The method of claim 18 , further comprising determining an abnormal condition based on a comparison of the first signal to the first threshold.

20. The method of claim 18 , further comprising determining an abnormal condition based on a comparison of the second signal to the second threshold.